NumPy
NumPy is an open source library for the Python programming language, adding support for large, multidimensional arrays, and matrices, along with a large collection of high-level mathematical functions to operate on these arrays.
- GitHub: https://github.com/topics/numpy
- Wikipedia: https://en.wikipedia.org/wiki/NumPy
- Repo: https://github.com/numpy/numpy
- Created by: Travis Oliphant
- Related Topics: python, scipy,
- Last updated: 2026-06-23 00:21:44 UTC
- JSON Representation
https://github.com/ioangatop/machinelearning
Implementation and analysis of core Machine Learning Algorithms from scratch.
bayesian baysian-inference classification expectation-maximization gaussian-processes ica independent-component-analysis jupyter-notebook logistic-regression machine-learning multiclass-logistic-regression neural-network numpy polynomial-regression python3 regression support-vector-machines svm-classifier vae vae-pytorch
Last synced: 13 Apr 2026
https://github.com/officiallyxenos/30-days-of-data-analysis-projects-
30-day challenge to master data analysis by completing daily projects. Each project covers a key concept, from data cleaning to visualization, and builds a strong portfolio of real-world applications.
matplotlib numpy pandas python-3 seaborn statistics
Last synced: 08 Apr 2026
https://github.com/fractalyze/zk_dtypes
A NumPy dtype extension used in Zero Knowlege libraries
Last synced: 02 Jan 2026
https://github.com/ksasi/boston_housing
Predicting Boston Housing Prices - Udacity
machine-learning numpy pandas python scikit-learn
Last synced: 08 Apr 2026
https://github.com/its-maneeshk/fake-product-detection-system
The Fake Product Review Detection System is a machine learning-powered web application designed to analyze and detect fake reviews on eCommerce platforms. It helps users identify whether a product has genuine or manipulated reviews by leveraging Natural Language Processing (NLP) and supervised learning models.
api beautifulsoup4 fetch-api flask html-css-javascript joblib nlp-machine-learning numpy pandas python reactjs requests scikit-learn
Last synced: 05 Mar 2025
https://github.com/rakibhhridoy/imageprocessing
Large amount of image processing is quite messy and time consuming,thus the working steps should be fast as well as accurate also. I've made sequential functions that is needed for processing data in TensorFlow and python. These functions made my work fast as it needed in commercial purposes.
augmentation deep-learning functional-programming image-manipulation image-processing keras machine-learning numpy python sequential-patterns tensorflow
Last synced: 08 Apr 2026
https://github.com/medyessinkhlif/medclaimml
An AI-powered machine learning application designed to process healthcare reimbursement claims. It analyzes medical documents, client information, insurance policies, and legal regulations to predict accurate reimbursement amounts, ensuring efficiency, compliance, and fraud detection.
healthcare jest-tests mern-stack mongodb nodejs nosql numpy pytorch react scikit-learn tailwindcss
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https://github.com/ankushmallick1100/task-1-the-sparks-foundation-data-science-and-business-analytics-internship
Task 01: Predict the percentage of an student based on no of study hours with Supervised Machine Learning
data-science internship-task intership jupyter jupyter-notebook linear-regression machine-learning machine-learning-algorithms matplotlib numpy pandas python python3 supervised-learning supervised-machine-learning thesparksfoundation thesparksfoundationinternship tsf
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https://github.com/tabotcharlesbessong/recommendationframeworks
learning deep learning and machine learnint
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https://github.com/shahin-ro/table-detection
Python tool for table extraction & Persian OCR. Uses OpenCV for table detection, Tesseract for text extraction, & Pandas for data output. Visualizes cells & text. Ideal for Persian documents! 📄✨
colab computer-vision data-extraction data-visualization document-processing image-analysis image-processing machine-learning matplotlib numpy ocr opencv pandas persian-ocr persian-text python table-detection table-extraction tesseract text-recognition
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https://github.com/virajbhutada/article-recommendation-system
This project aims to redefine content discovery by delivering personalized article recommendations tailored to individual user preferences. We use advanced machine learning techniques like PCA and K-means clustering to analyze user behavior and article characteristics to provide highly accurate recommendations.
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Last synced: 06 Jan 2026
https://github.com/florianwoelki/mnist_fashion_cnn
This is a classification problem based on the mnist fashion dataset. I've used a CNN to classify the images.
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https://github.com/jayanthpotluri5513/ml-project-on-iris-dataset-
In this machine learning project, we explore and analyze the famous Iris dataset. The goal of the project is to apply various machine learning techniques to classify the Iris flowers based on their measured features.
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https://github.com/rushikeshbihade/django_bsased_dataanalyzer_webapp
Data Analyzer is a Django web application that enables users to upload CSV files, perform data analysis using pandas and numpy, and view results and visualizations on an interactive web interface. It simplifies data analysis by offering a user-friendly platform for data upload, processing, and visualization.
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https://github.com/KernFerm/PresFutImpactSim
This repository contains a Python simulation model that forecasts political, economic, and social factors under a hypothetical presidency. Users input initial values, and the model simulates their progression through defined interactions and random variations.
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https://github.com/earth-app/doc2lora
Generate LoRA Adapters from documents
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https://github.com/aisurjyasamantaray/customer-purchase-analysis
This project involves an in-depth analysis of customer purchasing behavior and sales performance to drive business insights and strategies.
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https://github.com/indhra/helloworld
1.Numpy tutorial
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https://github.com/reddyprasade/bicycle-sharing-system-in-us
A bicycle-sharing system, public bicycle system, or bike-share scheme, is a service in which bicycles are made available for shared use to individuals on a short term basis for a price or free. Many bike share systems allow people to borrow a bike from a "dock" and return it at another dock belonging to the same system. Docks are special bike racks that lock the bike, and only release it by computer control. The user enters payment information, and the computer unlocks a bike. The user returns the bike by placing it in the dock, which locks it in place. Other systems are dockless. For many systems, smartphone mapping apps show nearby available bikes and open docks.
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https://github.com/cskhomo/scientific-python
Scientific Computation, Data Analysis using Python, Bash, SQL for FreeCodeCamp Courses.
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https://github.com/khadkarajesh/wine-prediction
White and Red Wine classification using logistic regression
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https://github.com/savitar-hub/image-classification
Notebooks on how image classification can help businesses make better decisions and improve the customer experience.
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This project predicts whether it will rain or not based on weather features like pressure, humidity, dew point, cloud cover, sunshine, wind direction, and wind speed. We use a Random Forest Classifier, a popular ML algorithm, trained on historical weather data. The model learns patterns and helps us forecast rain chances.
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https://github.com/cchandre/confkam
Conjugation method in configuration space for invariant tori of Hamiltonian systems
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https://github.com/davityak03/animal-image-classification-using-cnn
Animal image classification using Convolutional Neural Networks (CNNs) involves training a model to recognize and categorize different animal species based on their images. The CNN architecture excels at automatically extracting features from images, such as shapes and textures, which are crucial for accurate classification.
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Last synced: 08 Apr 2026
https://github.com/anish202020/data-analysis-and-machine-learning-basic-programs
Basic programs on data analysis and machine learning for students. It includes a variety of tutorials, examples, and models to help students understand and apply these concepts.
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Operation and functionality of two mazes.
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This project focusing on statistical analysis to understand and prepare data for potential machine learning applications. The dataset house_price.csv includes property prices in Bangalore. The analysis aims to perform exploratory data analysis (EDA), detect and handle outliers, check data distribution and normality, and analyze correlations.
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https://github.com/dmarks84/ind_project_california-housing-data--kaggle
Independent Project - Kaggle Dataset-- I worked on the California Housing dataset, performing data cleaning and preparation; exploratory data analysis; feature engineering; regression model buildings; model evaluation.
cross-validation data-modeling data-reporting data-visualization eda folium grid-search matplotlib model-evaluation numpy pandas pca python seaborn sklearn statistics supervised-ml unsupervised-ml
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https://github.com/geetisha/advanced-eda-and-text-mining
Advanced EDA and Text Mining
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https://github.com/jonad/dog_detection_app
Identify dog breeds using Convolutional Neural Network.
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https://github.com/simranjeet97/datascience_crashcourse
Data Science Crash Course that Explained about Each and Every Process in Data Science.
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https://github.com/nehalmr/qiksit-fall-fest-hackathon-2024
The Qiskit Hackathon is a unique opportunity for students to dive into the fascinating world of quantum computing. Participants will collaborate in teams to tackle a series of challenging problems that test their creativity, problem-solving skills, and understanding of quantum algorithms. This hackathon aims to inspire innovation in QC.
cpython hackathon ibm ibm-qiskit ibm-quantum-challenge matplotlib numpy python python3 qbits qiskit qiskit-tutorial quantum-algorithms quantum-computing quantumcircuits quantumregister
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https://github.com/geetisha/web-scraping-and-sentiment-analysis
Web Scraping and Sentiment Analysis
jupyter-notebook matplotlib nltk numpy pandas python seaborn selenium vader-sentiment-analysis
Last synced: 08 Apr 2026
https://github.com/pavankethavath/dominos---predictive-purchase-order-system
This advanced forecasting tool leverages Prophet, ARIMA, SARIMA, and LSTM models to predict daily sales for 32 pizzas and 64 ingredients. With Prophet achieving the lowest MAPE, it ensures accurate demand forecasts, optimized inventory, and efficient purchase planning, reducing waste, preventing stockouts, and enhancing supply chain efficiency.
arima deep-learning eda exploratory-data-analysis forecasting lstm machine-learning mape matplotlib minmaxscaling numpy pandas prediction python sarimax seaborn seasonality tensorflow time-series
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https://github.com/moustafamohamed01/moustafamohamed01
Software Engineering Student | Specializing in Machine Learning, Deep Learning, and Generative AI
artificial-intelligence artificial-neural-networks config convolutional-neural-networks data-analysis data-science data-visualization deep-learning keras machine-learning matplotlib natural-language-processing numpy pandas python pytorch recurrent-neural-networks scikit-learn seaborn tensorflow
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https://github.com/tawabshakeel/neural-networks-using-keras
Different Neural Networks using keras
deep-learning keras machine-learning neural-networks numpy pandas python sklearn
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https://github.com/iamshatha/disease-symptom-analysis
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analysis dataset disease matplotlib numpy python symptoms
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https://github.com/tristan296/deepplate
A custom-trained YOLOv11-based license plate detection with PaddleOCR for accurate ANPR.
cv2 numpy paddleocr sqlite3 ultralytics yolov11
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https://github.com/sourabh-kumar04/numpy-basic
Numpy-Basic is a structured learning repo covering NumPy from basics to advanced. It includes arrays, indexing, reshaping, filtering, vector ops, angle functions, stats, and .npy file handling. Each concept is explained with code, examples, and Matplotlib visualizations in both light and dark modes. Ideal for students and data learners.
data-analysis data-science data-visualization learning learning-resources machine-learning matplotlib numerical-computing numpy python python-library python-programming
Last synced: 10 May 2026
https://github.com/uhstray-io/pyrizon
Data Collection, Analysis, Mapping, Pipelining & Transformation, & API using Python
api data-engineering etl numpy pandas plotly python pytorch raw-data scikit-learn seaborne sql sqlite tensorflow
Last synced: 09 Apr 2026
https://github.com/msthamizh/singapore-resale-flat-prices-predicting
Developing a Streamlit application that allows users to interactively predict the resale prices of flats in Singapore using machine learning. The application supports regression tasks, enabling users to input various features, such as location, flat type, floor area, and lease start date, and receive predictions for resale prices.
exploratory-data-analysis machine-learning matplotlib numpy pandas python seaborn streamlit
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https://github.com/udityamerit/curafind-powered-by-ai
CuraFind AI is a web-based application leveraging Natural Language Processing (NLP) to intelligently recommend medicines. Users can search using symptoms, medicine names, or free-text descriptions, and receive suggestions along with brand substitutes for drugs
ai machine-learning nlp numpy pandas scikit-learn
Last synced: 18 Sep 2025
https://github.com/tasninanika/heart-disease-analysis
The Heart Disease Analysis project is a comprehensive machine learning study aimed at predicting the presence of heart disease using the Heart Disease UCI Dataset.
knn logistic-regression matplotlib numpy pandas python3 random-forest scikit-learn seaborn
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https://github.com/sumitgirwal/drinks-dataset-data-analysis
A drinks dataset from Kaggle. Applying analysis using Python, NumPy, Pandas, Matplotlib.
dataanalysis drinks-dataset kaggle matplotlib numpy pandas python3
Last synced: 13 Apr 2026
https://github.com/willie-conway/data-science-tools-and-ecosystem
🧠 Explore essential Data Science 🧪 tools, 🧰 libraries, and 🐍 Python arithmetic basics — perfect for beginners!
data-science jupyter keras notebooks numpy pandas python pytorch
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https://github.com/pooranjoyb/autoencoder-colorization
Autoencoder for Image Colorization
autoencoder keras-tensorflow machine-learning neural-networks numpy pandas python streamlit tensorflow
Last synced: 09 Apr 2026
https://github.com/arpandatta011/facial_image_recognition
This project includes the introduction of the facial expression recognition and an investigation on the recent previous researches for extracting the effective and efficient method for facial expression recognition.
cv2 keras matplotlib numpy pandas tensorflow
Last synced: 09 Apr 2026
https://github.com/weisscharlesj/SciCompChem_Experimental
Scientific Computing for Chemists Jupyter Book
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Last synced: 07 Nov 2025
https://github.com/nikorasu/snakeai
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Last synced: 09 Apr 2026
https://github.com/andystmc/nextflownyc
Developed a machine learning model (Bidirectional LSTM) to forecast NYC traffic volumes using 10 years of automated traffic count data. Achieved strong predictive accuracy, demonstrating the power of deep learning for urban traffic analysis.
data-analysis data-cleaning data-science data-visualization exploratory-data-analysis feature-engineering hyperparameter-tuning jupyter-notebook lstm-neural-networks machine-learning numpy pandas predictive-modeling python3 scikit-learn tensorflow-keras traffic-flow-forecasting
Last synced: 07 Apr 2026
https://github.com/xaxtric7/learn-numpy
🧮 Welcome to my NumPy Practice repository! This repo contains my hands-on learning, notes, and code experiments as I dive into the fundamentals and advanced features of NumPy – a powerful library for numerical computing with Python.
Last synced: 15 May 2026
https://github.com/santiagoenriquega/custom_ensemble_learning
This repository focuses on building a random forest classifier and regressor as well as a gradient boosted regressor, building them from scratch using only NumPy for faster array processing.
numpy python python3 random-forest random-forest-classifier random-forest-regressor
Last synced: 15 May 2026
https://github.com/melihcanndemir/3d-fractal-explorer
Interactive 3D visualization tool for exploring the mesmerizing world of Mandelbrot and Julia fractals. Built with Python, OpenGL and PyQt5, offering real-time animation and intuitive controls.
3d-graphics complex-numbers computer-graphics data-visualization educational fractal graphics-programming interactive julia-set mandelbrot math-visualization mathematical-art mathematics numpy opengl pyqt pyqt5 python scientific-visualization visualization
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https://github.com/ab23ms233/matrix-calculator
A Python-based matrix calculator for performing operations like addition, multiplication, inverse, determinant, eigenvalues, diagonalization, and matrix functions using NumPy, SymPy, and SciPy.
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https://github.com/quantum-software-development/qiskit
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https://github.com/georgehanymilad/heart-disease-detection
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Last synced: 07 Apr 2026
https://github.com/elhariri78/case-study-a-better-smoker-detector
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This notebook covers a simple analysis with logistic regression on the popular titanic dataset.
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https://github.com/sarah-ribeiro/curso-pandas-alura
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https://github.com/blakeziegler/nfl-ai
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https://github.com/gourab-sinha/machine_learning
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classification machine-learning neural-network numpy pandas sklearn-library
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https://github.com/ayaanjawaid/vizualite
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matplotlib numpy pandas python3 streamlit
Last synced: 09 Apr 2026
https://github.com/bessarodrigo/dataviz_sales_retail
Este projeto apresenta um mosaico com o Matplotlib com um retrato do desempenho das vendas de uma empresa de varejo.
matplotlib numpy pandas python python3
Last synced: 09 Apr 2026
https://github.com/docsallover/real-time-object-detection
Real-Time Object Detection with Single Shot MultiBox Detector (SSD)
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Last synced: 09 Apr 2026
https://github.com/kientech/calories-burnt-prediction-with-machine-learning
The Calories Burnt Prediction with Machine Learning project aims to predict the number of calories burned during physical activities based on various factors such as duration, activity type, age, weight, and more.
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Applying the finite-difference method to the Convection Diffusion equation in python3. Examples included: One dimensional Heat equation, Transport equation, Fokker-Plank equation and some two dimensional examples.
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https://github.com/ahlem-phantom/django-travel-agency
Travel Agency website built using Django, designed for browsing and booking of travel packages.
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https://github.com/nelsontanko/face-recogition-system
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https://github.com/vortexv7/engagevision-yt
Thumbnail Engager is a Streamlit-based web app that uses AI to analyze YouTube thumbnails, providing actionable feedback to improve engagement. Upload a thumbnail to get insights on its strengths, weaknesses, and tips for maximizing views. Perfect for creators looking to optimize their visuals!
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https://github.com/shriram-vibhute/data-analysis
This repository offers a comprehensive collection of data analysis techniques using NumPy Pandas, Matplotlib and Seaborn.
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https://github.com/docsallover/spam-detection
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https://github.com/vidyasagarmsc/pydataflownote
As I explore Python libraries....
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🎉 Welcome to the journey with NumPy! From this repository, You can learn all about Numpy. ✔
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https://github.com/theanujsinha01/customer-segmentation-using-k-means-clustering
This project focuses on customer segmentation using the K-Means clustering algorithm. A user-friendly Streamlit dashboard allows users to upload their own dataset, choose any two numeric features (like age, income, or spending score), and perform clustering. The app dynamically visualizes customer groups, recommends the best number of clusters
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Last synced: 09 Apr 2026
https://github.com/willprice/arsenal
Personal arsenal of python utilities
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Last synced: 09 Apr 2026
https://github.com/hariprasath-v/mh_google_cloud_bigquery_ltv_prediction_challenge
Build a model that can predict customers' Long Term Value (LTV).
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Last synced: 09 Apr 2026
https://github.com/hanai/nb_quantopian
量化交易笔记
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https://github.com/tynab/lottery
Xổ số kiến thiết
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A operadora de comunicações InternetGO está interessada em prever a rotatividade de seus clientes (churn). Se for identificado que um usuário está planejando trocar de operadora, a empresa poderá oferecer códigos promocionais e opções de planos especiais para evitar a perda desse cliente.
catboost numpy pandas pyplot python seaborn sklearn
Last synced: 09 Apr 2026
https://github.com/arunagirinathan-k/text-classifier-using-nlp_techniques
A Text Classification using NLP Techniques.
matplotlib nlp nltk numpy pandas scikit-learn seaborn spacy text-classification
Last synced: 09 Apr 2026
https://github.com/datarohit/nfl-big-data-bowl-2022--analysis
This is a Jupyter Notebook containing the analysis performed on a Kaggle Competition Dataset which contains data about NFL players and games.
kaggle kaggle-competition matplotlib-pyplot numpy pandas plotly python seaborn
Last synced: 09 Apr 2026
https://github.com/shreeparab1890/movie-recommender-system
This notebook is trying to build a model which will recommend the movie based on given movie and genre. In this we use Popularity Based Recommendation, Content Based Recommendation and Collaborative Filtering based Recommendation.
bag-of-words cosine-similarity matplotlib numpy pandas python scikit-learn sklearn vectorization
Last synced: 09 Apr 2026
https://github.com/ankushmallick1100/Diabetes-Prediction-of-Females-using-Maching-Learning-Techniques
This is a machine learning project that uses various machine learning algorithms to predict whether a patient is diabetic or not. Here various machine learning algorithms like SVM, RF Classifier, DT Classifier, KNN, LR , LRwith CV, NB Classifier, and XGB are used. For this work, a website is made with Python Streamlit library. Paper is ongoing.
classification cross-validation decision-tree-classifier diabetes diabetes-prediction jupyter jupyter-notebook logistic-regression machine-learning machine-learning-algorithms numpy pandas python random-forest random-forest-classifier regression streamlit support-vector-machine xgboost xgboost-classifier
Last synced: 29 Sep 2025
https://github.com/RedInfinityPro/Laser-Strategy
Rating: (8/10): Is an interactive graphical simulation using Pygame library, featuring laser and detector dynamics. It includes pathfinding, collision detection, and dynamic object interactions. The game allows dragging, checking for collisions, and updating object states.
math numpy pygame random sys time
Last synced: 30 Sep 2025
https://github.com/mariamabidi/pinn-based-flow-prediction
This repository contains code and experiments for predicting 3D aerodynamic flow around car geometries using Physics-Informed Neural Networks (PINNs) and for analyzing flow features via autoencoder-based clustering.
computer-vision machine-learning neural-network numpy pytorch pyvista scikit-learn
Last synced: 05 Aug 2025
https://github.com/malwarebo/carcinet
Basic breast cancer detection using Machine Learning
deep-learning keras machine-learning matplotlib numpy python3 scipy tensorflow
Last synced: 09 Apr 2026
